Convexia
The world's first AI-maximalist pharma company
What they do
Pharma drug discovery and development is slow, expensive, and inefficient, causing promising drug candidates to be missed or delayed.
An AI-agent-driven pharma platform that sources drug candidates, evaluates them in silico, designs clinical trials, and optimizes commercialization to develop and sell drugs faster and leaner.
Drug development organizations and pharma teams seeking to identify, de-risk, and advance preclinical assets through early clinical planning and commercialization.
Founders
Building agents to find and acquire early-stage drug assets. Stanford CS + Bio Built 3 healthtech startups (telemedicine, addiction recovery, hydroponic systems). Published 4 papers on molecular dynamics. Biotech VC and consulting experience.
Building agents to find and acquire early-stage drug assets. Stanford CS + Econ Built 3 healthtech startups (telemedicine, gamified recovery, hydroponic systems).
Open roles 1
Company timeline
- Founded2025
- YC batchSummer 2025
- StatusActive
- Team size4 people
- LocationSan Francisco, CA, USA
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